The course aims at providing students with a solid foundation in applied statistical methodology. Students who attend and successfully complete the course will master the basic toolkit of quantitative research (i.e. cases, types of variables, datasets, hypotheses testing); will achieve an understanding of why sampling is used and how to make predictions (inference) in the social sciences; they will be proficient with the main tools for univariate, bivariate and multivariate analyses. Students will also receive basic training for the use of the statistical software Stata and will be introduced to other commonly used software (SPSS and Excel). By the end of the course, they will be able to produce and interpret basic to intermediate statistical analyses of quantitative data independently.